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Home 2019-06-11T11:05:44-04:00

Fostering change throughout your organization can be a challenge.

We have the experience to help you create a robust health equity program that will help you meet the triple aim of better care, better health and lower costs.

>200

Hospitals

Our training has been used in more than 200 hospitals.

>10,000

Registration
Staff Trained

More than 10,000 registration staff have been trained using the Ask Every Patient: REAL training module.

>2 Million

Number of
Patients

More than 2,000,000 patients have had an improved registration experience as a result of our training.

We deliver best-in-class cultural responsiveness training and education that is:

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Ask Every Patient:
REAL eLearning Module

A SCORM-compliant eLearning module incorporating role playing, simulation, and games to create a highly engaging and effective training experience.

Sexual Orientation and Gender Identity
(SOGI) eLearning Module

Our three-part series provides you an affordable efficient starting point for training across your hospital.

We combine forward thinking instructional design and healthcare thought leadership to deliver dynamic transformation training that motivates teams. And, for organizations with unique training needs, we offer customization at a fraction of the cost of other solutions.

Learn why this is the most cost effective training solution available.

Our values put people – their feelings, their vulnerability, their suffering, and their care and compassion – first.

Lisa R. Sloane, Founder, More Inclusive Healthcare

Without reliable data nothing improves

After REAL training, we have seen across the board improvements in REAL data collection with increases of up to 56%.
Race: 99%

99% of patients assigned a race vs 69% prior to training

Ethnicity: 97%

97% of patients assigned an ethnicity vs 41% prior to training

Language: 90%

90% of patients assigned a language vs 59% prior to training

Our REAL data collection training works by giving registration staff the tools they need to consistently and accurately collect race, ethnicity, and language preference data using patient self-reporting methods.
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